When certain types of machinery run over long periods of time, partly unsupervised, an overheating event can lead to incineration where the machine typically is destroyed beyond repair. If the event is discovered in time, the machine can be stopped and the attempts to extinguish the fire can be initialized in time.
Within this project, the main target is to develop an ultra-low power sensor platform, able to discover of such critical events in time. The solution can also be possible to use for supervision purpose with respect to predictive maintenance.
This project includes hardware, supervision algorithms and a cloud solution. Although these parts are intended to work together, they can also be used in isolation.